Deepnote
The collaborative, AI-powered workspace for seamless data analysis and team productivity.
Executive Summary
Deepnote is a cloud-based collaborative data science notebook platform designed for data professionals. It enables real-time collaboration on data exploration, analysis, and machine learning workflows, integrating with over 60 data sources. The platform offers AI assistance for coding, debugging, and insights, aiming to simplify complex data tasks and foster a unified data workflow across technical and non-technical teams.
Use Cases
- Collaborative data analysis and exploration for teams.
- Building and deploying machine learning models to production.
- Developing and automating ETL/ELT data pipelines.
- Creating interactive data apps and dashboards for business stakeholders.
- Business intelligence, reporting, and exploratory analysis.
- Customer 360 analysis, sales forecasting, and churn prediction.
Features
Visibility
- Interactive Visualizations: Instantly visualize dataframes as no-code configurable charts and create elaborate data visualizations.
- Data Apps & Dashboards: Transform notebooks into powerful, interactive dashboards or data applications for easy sharing and exploration.
- Data Catalog & Semantic Layer: Document data assets, define a shared understanding of data with reusable metrics, and ensure consistency across the organization.
- Scheduled Notebooks & Alerts: Automate recurring analysis tasks by scheduling notebooks to run hourly, daily, weekly, or monthly, and set up alerts for key metrics.
Intelligence
- AI Data Copilot: Receive contextual AI help for generating code, completing functions, debugging, and optimizing queries in Python and SQL.
- Natural Language to Code: Ask questions in plain language and let Deepnote AI generate the corresponding code or SQL queries.
- Model Training & Serving: Build, train, serve, and monitor machine learning models directly from notebooks, with support for powerful GPUs.
- Automated Documentation: AI agents can automatically generate comprehensive documentation for custom functions and analysis workflows.
- Code Optimization & Debugging: AI assists in detecting code inefficiencies, suggesting improvements, and providing real-time code recommendations.
Support
- Live Chat Support: Access live chat for immediate assistance with platform usage and issues.
- Dedicated Success Manager: Enterprise customers receive a dedicated success manager for personalized support and guidance.
- Priority Support: Enterprise plans include priority support for faster resolution of critical issues.
- Extensive Documentation & Community: Access comprehensive online documentation, guides, tutorials, and a community of 500,000+ data professionals.
Technical Specifications
- Architecture
- Cloud-native SaaS, Collaborative Notebook Environment
- Deployment
- Cloud/SaaS
- Authentication
- SSO, SAML 2.0, MFA, OAuth 2.0
- API Available
- Yes
- MCP Server
- No
Infrastructure
- AWS
- GCP
AI/ML Stack
- Machine Learning
- LLM
Integrations
- Python
- SQL
- R
- 50+ Data Sources
- AI Blocks
Security & Compliance
Certifications: SOC 2 Type II, HIPAA, GDPR
Encryption: AES-256 at rest, TLS 1.2+ in transit (implied by cloud-native and security features)
Pricing
- Model
- Tiered subscription (Free, Team, Enterprise)
- Starting Price
- Free plan available; Team plan $49/editor/month (monthly) or $39/editor/month (annually); Enterprise is custom.
- Target Customer
- SMB to Enterprise
- Contract Type
- Monthly, Annual, Custom (Enterprise)
- Free Trial
- Yes, 14 days (for Team plan) (credit card required)
About Deepnote
Deepnote is a collaborative, AI-powered data workspace for teams, offering a Jupyter-compatible notebook platform that runs in the cloud. It unifies data workflows through an integrated semantic layer, enabling advanced AI applications, and features an AI data copilot for code generation, chart creation, and data analysis.